Evidence map›Paper›PMID 40965715›Full record

ReviewCancer metastasis reviews2025

Perspectives on the origin and therapeutic opportunities in Down syndrome-associated leukemia.

Kunjal Panchal, Jesse Armitage, Laurence C Cheung, Rishi S Kotecha, Sébastien Malinge

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer metastasis reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. On the origins of childhood cancer.Cancer metastasis reviews · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kunjal PanchalWA Kids Cancer Centre, The Kids Research Institute Australia, Perth, WA, Australia.
Jesse ArmitageWA Kids Cancer Centre, The Kids Research Institute Australia, Perth, WA, Australia.
Laurence C CheungWA Kids Cancer Centre, The Kids Research Institute Australia, Perth, WA, Australia.
Rishi S KotechaWA Kids Cancer Centre, The Kids Research Institute Australia, Perth, WA, Australia.
Sébastien MalingeWA Kids Cancer Centre, The Kids Research Institute Australia, Perth, WA, Australia. sebastien.malinge@thekids.org.au.

Funding

National Health and Medical Research Council of Australia APP2033152
6 · The paper itself

Abstract

It is now well accepted that germline or de novo genetic alterations predispose to cancer development, especially during childhood. Among them, constitutive trisomy 21, also known as Down syndrome (DS), has been shown to predispose to acute leukemia affecting both the myeloid (ML-DS) and lymphoid (DS-ALL) lineages. ML-DS is associated with a good prognosis compared to children without DS, due in part to a higher sensitivity to conventional chemotherapy. In contrast, children with DS-ALL have inferior outcomes compared to children without DS, predominantly due to treatment-related toxicity and higher rates of relapse. This discrepancy in outcomes between ML-DS and DS-ALL is mirrored at the biological and molecular level. Indeed, whereas the mechanisms of leukemia initiation, multi-step pathogenesis and progression in response to treatment are well described for ML-DS, they remain mostly elusive for children with DS-ALL. This review will integrate the most recent studies in this field, to better understand this discrepancy and address the knowledge gap for DS-ALL, provide perspectives on the origin and the development of novel therapeutic approaches for DS-associated leukemia, to ultimately improve the quality of care and long-term survival for children with DS.

Indexed as

Down SyndromeLeukemiaAnimalsHumansDown syndromeLeukemiaOriginTherapy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.